Security analysis of automotive architectures using probabilistic model checking

Phil IPp Mundhenk, Sebastian Steinhorst, Martin Lukasiewycz, Suhaib A. Fahmy, Samarjit Chakraborty

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Scopus citations

Abstract

This paper proposes a novel approach to security analysis of automotive architectures at the system-level. With an increasing amount of software and connectedness of cars, security challenges are emerging in the automotive domain. Our proposed approach enables assessment of the security of architecture variants and can be used by decision makers in the design process. First, the automotive Electronic Control Units (ECUs) and networks are modelled at the system-level using parameters per component, including an exploitability score and patching rates that are derived from an automated or manual assessment. For any specific architecture variant, a Continuous-Time Markov Chain (CTMC) model is determined and analyzed in terms of confidentiality, integrity and availability, using probabilistic model checking. The introduced case study demonstrates the applicability of our approach, enabling, for instance, the exploration of parameters like patch rate targets for ECU manufacturers.
Original languageEnglish (US)
Title of host publicationProceedings - Design Automation Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781450335201
DOIs
StatePublished - Jan 1 2015
Externally publishedYes

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